Yi Zhu

According to our database, Yi Zhu authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correctable Landmark Discovery via Large Models for Vision-Language Navigation.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Yi Zhu, Hang Xu, Shikui Ma, Jianzhuang Liu, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Hang Xu, Yi Zhu, Chunjing Xu, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., November, 2024

UNIT: Unifying Image and Text Recognition in One Vision Encoder.

Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu

CoRR, 2024

Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation.

Zicheng Zhang, Tong Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Qixiang Ye, Wei Ke

CoRR, 2024

2023

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning.

Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.

Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang

CoRR, 2023

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.

Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.

Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Configurable Graph Reasoning for Visual Relationship Detection.

Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., 2022

Dynamic Perception Framework for Fine-Grained Recognition.

Yao Ding, Zhenjun Han, Yanzhao Zhou, Yi Zhu, Jie Chen, Qixiang Ye, Jianbin Jiao

IEEE Trans. Circuits Syst. Video Technol., 2022

Atom correlation based graph propagation for scene graph generation.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Pattern Recognit., 2022

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

P³OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang

CoRR, 2022

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation.

Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling.

Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning.

Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts.

Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation.

Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Heterogeneous Excitation-and-Squeeze Network for visual dialog.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Neurocomputing, 2021

Deep Learning for Embodied Vision Navigation: A Survey.

Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang

CoRR, 2021

SOON: Scenario Oriented Object Navigation with Graph-based Exploration.

Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang

CoRR, 2021

Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation.

Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration.

Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Domain Consensus Clustering for Universal Domain Adaptation.

Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior.

Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks.

Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Vision-Dialog Navigation by Exploring Cross-Modal Memory.

Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Selective Sparse Sampling for Fine-Grained Image Recognition.

Yao Ding, Yanzhao Zhou, Yi Zhu, Qixiang Ye, Jianbin Jiao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Instance Activation Maps for Weakly Supervised Instance Segmentation.

Yi Zhu, Yanzhao Zhou, Huijuan Xu, Qixiang Ye, David S. Doermann, Jianbin Jiao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Weakly Supervised Instance Segmentation Using Class Peak Response.

Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Correlated Topic Vector for Scene Classification.

Pengxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao, Qixiang Ye

IEEE Trans. Image Process., 2017

Soft Proposal Networks for Weakly Supervised Object Localization.

Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

Proceedings of the IEEE International Conference on Computer Vision, 2017